European journal of trauma and emergency surgery : official publication of the European Trauma Society
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Eur J Trauma Emerg Surg · Dec 2022
Analysis of risk factors affecting traffic accident injury in United Arab Emirates (UAE).
The mortality and severe injuries due to traffic accidents in United Arab Emirates (UAE) are hastening the necessity for a study that can identify the consequential risk factors. This study was conducted by utilizing a 5740 traffic accidents police reports that occurred in Abu Dhabi, UAE between 2008 and 2013. A multinomial logit regression model was applied to determine the significant factors among the 14 potential risk factors that were used in this study. ⋯ In contrast, rear-end collisions and intersections had a lower probability of causing fatal injury. Then, the eight significant predictors were included in a neural network to compare the performance of both methods and to identify the normalized importance values for the significant independent variables. The neural network had proven to be more accurate in general than the traditional regression models such as the multinomial logit model.
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Eur J Trauma Emerg Surg · Dec 2022
ReviewLeft subclavian artery coverage during endovascular repair of thoracic aorta injury in trauma and non-trauma patients.
In thoracic endovascular aortic repair (TEVAR), the left subclavian artery (LSA) is often occluded. Although most patients tolerate this, some develop ischemic symptoms to the brain or left upper extremity (LUE). A revascularization procedure may be associated with significant complications. The purpose of this review was to assess the incidence of LSA occlusion, resulting ischemic symptoms, and complications related to revascularization operations in trauma patients compared to non-trauma patients. ⋯ LSA coverage following TEVAR is common and associated with significant complications, often requiring operative management. The incidence of ischemic complications after occlusion of the LSA is significantly higher in the trauma population. Revascularization procedures to correct the occlusion have a high rate of complications.
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Eur J Trauma Emerg Surg · Dec 2022
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.
Preoperative prediction of mortality in femoral neck fracture patients aged 65 years or above may be valuable in the treatment decision-making. A preoperative clinical prediction model can aid surgeons and patients in the shared decision-making process, and optimize care for elderly femoral neck fracture patients. This study aimed to develop and internally validate a clinical prediction model using machine learning (ML) algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above. ⋯ Prognostic Level II.
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Eur J Trauma Emerg Surg · Dec 2022
Advanced CT visualization improves the accuracy of orthopaedic trauma surgeons and residents in classifying proximal humeral fractures: a feasibility study.
Osteosynthesis of proximal humeral fractures remains challenging with high reported failure rates. Understanding the fracture type is mandatory in surgical treatment to achieve an optimal anatomical reduction. Therefore, a better classification ability resulting in improved understanding of the fracture pattern is important for preoperative planning. The purpose was to investigate the feasibility and added value of advanced visualization of segmented 3D computed tomography (CT) images in fracture classification. ⋯ Segmentation of CT scans added value to the proximal humeral fracture classification, since orthopaedic surgeons were able to classify fractures significantly better into the AO/OTA, Neer, and LEGO classification systems compared to both standard 2D slice-wise evaluation and 3D reconstruction model.
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Eur J Trauma Emerg Surg · Dec 2022
Observational StudyRisk assessment, consequences, and epidemiology of electric scooter accidents admitted to an emergency department: a prospective observational study.
This study aimed to describe the demographic and clinical characteristics of individuals involved in electric scooter (E-scooter) accidents and the factors associated with these incidents. ⋯ Given the increasing popularity of E-scooters as an alternative mode of transportation, our study can inform public policy on patterns of injuries associated with E-scooter utilization for future injury prevention policies. Using helmets, avoiding alcohol consumption, and regulating use at night can improve outcomes in E-scooter accidents.